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Biomedical subjects

Hyo-Sook Oh

Publications and source records attributed to Hyo-Sook Oh.

3 recordsLinked to original sources

Decision-tree model of treatment-seeking behaviors after detecting symptoms by Korean stroke patients.

PURPOSE: This study was performed to develop and test a decision-tree model of treatment-seeking behaviors about when Korean patients visit a doctor after experiencing stroke symptoms. METHODS: The study used methodological triangulation. The model was developed based on qualitative data collected from in-depth interviews with 18 stroke patients. The model was tested using quantitative data collected from interviews and a structured questionnaire involving 150 stroke patients. The predictability of the decision-tree model was quantified as the proportion of participants who followed the pathway predicted by the model. RESULTS: Decision outcomes of the model were categorized into immediate and delayed treatment-seeking behavior. The model was influenced by lowered consciousness, social-group influences, perceived seriousness of symptoms, past history of hypertension or stroke, and barriers to hospital visits. The predictability of the model was found to be 90.7%. CONCLUSIONS: The results from this study can help healthcare personnel understand the education needs of stroke patients regarding treatment-seeking behaviors, and hence aid in the development of educational strategies for stroke patients.

Decision Making↗

Korean nursing students' ethical problems and ethical decision making.

This Korean study replicated a previously published American study. The conceptual framework and method combined ethical enquiry and phenomenology. The research questions were: (1) What is nursing students' experience of ethical problems involving nursing practice? and, (2) What is nursing students' experience of using an ethical decision-making model? The participants were 97 senior baccalaureate nursing students, each of whom described one ethical problem and chose to use one of five ethical decision-making models. From 97 ethical problems, five content categories emerged, the largest being health professionals (69%). The basic nature of the ethical problems was the students' experience of conflict, resolution and rationale. Using an ethical decision-making model helped 94% of the students. A comparison of the Korean and American results yields important implications for nursing ethics education, practice and research.

Adult↗

Decision tree model of the treatment-seeking behaviors among Korean cancer patients.

The purpose of this study was to develop and test a decision tree model of the treatment-seeking behaviors among Korean cancer patients. The study used methodological triangulation, applying the cognitive ethnographic decision tree modeling approach. The model was developed based on qualitative data collected from in-depth interviews with 29 cancer patients. The model was tested using qualitative and quantitative data collected from interviews and a structured questionnaire involving 165 cancer patients. The predictability of the decision tree model was quantified as the proportion of participants who followed the pathway predicted by the model. Two models were developed, the first for decision making about when to visit a doctor after detecting symptoms, and the second for decision making about treatment type following the diagnosis. Decision outcomes for the first model were categorized into immediate visit and delayed visit. The first model was influenced by the perceived seriousness of symptoms, the experiences of visiting a doctor previously with similar symptoms, social-group influences on visiting a doctor, and barriers to visiting a doctor. Decision outcomes for the second model were hospital treatment only, and a mixture of hospital treatment and alternative therapies. The second model was influenced by curability, social-group influences on alternative therapies, and confidence in alternative therapies. The predictabilities of the 2 models were 90.3% and 94.5%, respectively. This study result can help nurses understand the treatment-seeking behaviors of cancer patients, and hence develop nursing intervention strategies.

Adult↗